An Efficient Approach to Multimodal Person Identity Verification by Fusing Face and Voice Information

Author

Cheng, Hsien-Ting ; Chao, Yi-Hsiang ; Yeh, Shih-Liang ; Chen, Chu-Song ; Wang, Hsin-Min ; Hung, Yi-Ping

Author_Institution

Inst. of Inf. Sci., Acad. Sinica, Taipei

fYear

2005

fDate

6-6 July 2005

Firstpage

542

Lastpage

545

Abstract

This paper presents an effective method to combine speech recognition, speaker verification and face verification for biometric authentication. Our method provides a light-weight enrollment process and an easy-to-use verification interface. A multi-face/single-sentence strategy is used to combine voice and face verification modules, and support vector machine is employed for information fusion. Experimental results show that our method can achieve high verification accuracies

Keywords

biometrics (access control); face recognition; sensor fusion; speaker recognition; support vector machines; biometric authentication; face information fusion; light-weight enrollment process; multimodal person identity verification; speaker verification; speech recognition; support vector machine; verification interface; voice information fusion; Authentication; Biometrics; Chaos; Computer science; Feature extraction; Image sequences; Information science; Speech recognition; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on

Conference_Location

Amsterdam

Print_ISBN

0-7803-9331-7

Type

conf

DOI

10.1109/ICME.2005.1521480

Filename

1521480